This disclosure relates generally to method and system for non-contact ultrasound based vibration detection. Here, non-contact vibration detection plays crucial role in industries for monitoring and analyzing machine vibrations to predict early warnings of the potential failures. The method includes receiving, from a non-contact ultrasonic air transducer a signal reflected from a plurality of vibrating parts of a machine. The non-contact ultrasound obtains vibrational frequencies corresponding to the vibrating part of the machine which are further analyzed to determine an electrical impedance of a piezoelectric element. Further, based on the electrical impedance occurred vibrations are detected in each vibrating part from the plurality of vibrating parts of the machine. The measured impedance signal utilizes continuous sinusoidal excitation which enables narrow band filtering to increase signal to noise ratio. The proposed disclosure provides a low cost simple solution thereby reducing design complexity of the non-contact ultrasonic transducer circuit.

The present disclosure provides a system and method for real-time visualization of a material during ultrasonic non-destructive testing. The system includes a graphical user interface (GUI) capable of showing a three-dimensional (3-D) image of a composite laminate constructed of a series of two-dimensional (2-D) cross sections. The GUI is capable of displaying the 3-D image as each additional 2-D cross section is scanned by an ultrasonic testing apparatus in real time or near real time, including probable defect regions that contain a flaw such as an air pocket, delamination, or foreign object within the composite. Furthermore, in one embodiment, the system includes an artificial intelligence capable of highlighting foreign objects within the 3-D image in real time or near real time and providing data regarding each object area, such as the depth, size, and/or type of each defect.

The present disclosure provides a system and method for real-time visualization of a material during ultrasonic non-destructive testing. The system includes a graphical user interface (GUI) capable of showing a three-dimensional (3-D) image of a composite laminate constructed of a series of two-dimensional (2-D) cross sections. The GUI is capable of displaying the 3-D image as each additional 2-D cross section is scanned by an ultrasonic testing apparatus in real time or near real time, including probable defect regions that contain a flaw such as an air pocket, delamination, or foreign object within the composite. Furthermore, in one embodiment, the system includes an artificial intelligence capable of highlighting foreign objects within the 3-D image in real time or near real time and providing data regarding each object area, such as the depth, size, and/or type of each defect.

Methods, systems and computer program products for determining a mechanical parameter for a sample having a target region using shear wave displacement are provided. The method includes a) generating at least one shear wave with an excitation pulse in the target region at an excitation position; b) transmitting tracking pulses in a tracking region, at least a portion of which is outside the target region; c) receiving corresponding echo signals for the tracking pulses in the tracking region; d) repeating steps A through C for one or more additional excitation positions within the target region, wherein at least two of the excitation pulses overlap and the tracking region associated with each excitation position overlaps with the tracking region associated with at least one other excitation position; and e) determining at least one mechanical parameter of the target region based on at least one parameter of a shear wave displacement.

Methods, systems and computer program products for determining a mechanical parameter for a sample having a target region using shear wave displacement are provided. The method includes a) generating at least one shear wave with an excitation pulse in the target region at an excitation position; b) transmitting tracking pulses in a tracking region, at least a portion of which is outside the target region; c) receiving corresponding echo signals for the tracking pulses in the tracking region; d) repeating steps A through C for one or more additional excitation positions within the target region, wherein at least two of the excitation pulses overlap and the tracking region associated with each excitation position overlaps with the tracking region associated with at least one other excitation position; and e) determining at least one mechanical parameter of the target region based on at least one parameter of a shear wave displacement.

Provided herein is an acoustic testing method to evaluate the acoustic absorptivity of submicron/nano materials using small samples. Based on the transfer-matrix algorithm, the method establishes correlations among acoustic-related parameters of a large sensor fixture and a small sample holder. We developed a proof-of-principle experimental setup to test absorbers with well-known acoustic behavior to verify accuracy of the method. Finally, we characterize the sound absorption properties of two submicron materials, with one comprising dispersed silver submicron fibers and the other comprising electrospinning submicron fibers. Our results indicate acoustic absorption coefficients can be effectively retrieved using only 1/200 of the amount of materials that are typically required in the standard test.

Provided herein is an acoustic testing method to evaluate the acoustic absorptivity of submicron/nano materials using small samples. Based on the transfer-matrix algorithm, the method establishes correlations among acoustic-related parameters of a large sensor fixture and a small sample holder. We developed a proof-of-principle experimental setup to test absorbers with well-known acoustic behavior to verify accuracy of the method. Finally, we characterize the sound absorption properties of two submicron materials, with one comprising dispersed silver submicron fibers and the other comprising electrospinning submicron fibers. Our results indicate acoustic absorption coefficients can be effectively retrieved using only 1/200 of the amount of materials that are typically required in the standard test.

Methods and apparatus for inspecting oilfield infrastructure components. Methods include methods of identifying a micro-annulus outside a casing in a cemented wellbore. Methods may include transmitting an acoustic pulse incident on the casing; making a measurement of a first acoustic impedance property value from pulse-echo information generated responsive to an echo of the acoustic pulse reflected from the casing; propagating a circumferential guided wave in the casing; making a measurement of a second acoustic impedance property value from propagating wave information generated responsive to the propagating acoustic wave; and determining from the first acoustic impedance value and the second acoustic impedance value a presence of a micro-annulus between the casing and the cement.

Methods and apparatus for inspecting oilfield infrastructure components. Methods include methods of identifying a micro-annulus outside a casing in a cemented wellbore. Methods may include transmitting an acoustic pulse incident on the casing; making a measurement of a first acoustic impedance property value from pulse-echo information generated responsive to an echo of the acoustic pulse reflected from the casing; propagating a circumferential guided wave in the casing; making a measurement of a second acoustic impedance property value from propagating wave information generated responsive to the propagating acoustic wave; and determining from the first acoustic impedance value and the second acoustic impedance value a presence of a micro-annulus between the casing and the cement.

An inspection system for determining the efficacy and veracity of a bond-line, comprising: a robotic arm assembly providing a gimbal mount for enabling linear and rotary translation about multiple axes; an ultrasonic transducer affixed to the gimbal mount of the robotic arm assembly and comprising a planar array of transducer elements, each transducer element capable of transmitting and receiving reflected ultrasonic energy indicative of changes in acoustic impedance within the bond-line. The reflected energy of each transducer element provides acquired bond-line data indicative of the efficacy of the bond-line while select transducer elements produce orientation data indicative of the orientation of the planar array relative to the contour of the bonded joint. The bond-line and orientation data are combined to determine whether the direction of the transmitted pulse should be altered to validate the bond-line data.